How To Find A Career Path In Data Science

Hui Lin @Netlify
hui@netlify.com

2019-10-27

Slides

https://scientistcafe.com/talks/ODSC2019West

What is a path?

The term no one really defined

Data science is the discipline of making data useful. Ok…so what is it?

HTML5 Icon

Three tracks of data science

  1. Engineering (infrastructure and production): the process of making everything else possible

  2. Analysis: the process of turning raw information into insights in a fast way

  3. Modeling/Inference: the process of diving deeper into the data to discover the pattern we don’t easily see

(It is a group work from https://github.com/brohrer/academic_advisory/blob/master/authors.md !)

Engineering

Data Pipeline

Analysis

Modeling/Inference

Some confusions and more to come

Three tracks of data science

HTML5 Icon

Three tracks of data science

HTML5 Icon

Three tracks of data science

HTML5 Icon

Data Science Hierarchy of Needs

HTML5 Icon

Data Science Types v.s Needs

HTML5 Icon

Data Science Types v.s Needs

HTML5 Icon

Data Science Types v.s Needs

HTML5 Icon

Data Science Types v.s Needs

HTML5 Icon

Where does data science belong in your organization?

1. A standalone team

Where does data science belong in your organization?

2. An embedded model

Where does data science belong in your organization?

3. Integrated team

Startup v.s. Big Corporate

http://bit.ly/2JlR9WU

Data Science Curriculum Roadmap

HTML5 Icon

Questions